Volume 9, Issue 21 (6-2017)                   jcb 2017, 9(21): 27-35 | Back to browse issues page


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Grouping of Different Populations of Wild Wheat (Triticum Boeoticum) by Multivariate Analysis. jcb. 2017; 9 (21) :27-35
URL: http://jcb.sanru.ac.ir/article-1-792-en.html

Abstract:   (547 Views)
27 different populations of Triticum boeoticum were gathered from west and North West of Iran for their grouping using morphological traits. All populations were assessed in farm based on completely random design with three replications in 1393. The measured traits include stem length with spike, spike length with and without awn, awn length, flag leaf length, the woolly leaves, peduncle length, spikelet length, number of grains per spikelet and 100-grain weight. The result showed that the most diversity were observed in hairy leaf and flag leaf length traits according to the variation coefficient in studied traits. All populations are located in three groups based on cluster analysis. Obtained grouping was not agreed with geographical grouping and showed more diversity into populations gathered from the same province. Based on factor analysis, three factors were recognized that explain 76.65 percent of total variation. The first factor allocation of 30.09 percent of the total variation is mainly explained by the traits of hairy leaf, spike length with awn, awn length, grain number per spikelet and was named as a spike morphology factor. The second factor is explained 23.12 percent of the total variation and named length factor and third factor allocation 23.12 percent of the total variation and name were grain filling factor. Biplot figure based on two first factor, all populations were placed on three groups. The obtained results from factor analysis were conformed the result of cluster analysis and confirmed them. The result indicated that when two first factors legitimized high percent of variation, can be used for grouping.
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